Khoo 2025 proposed a set of considerations for establishing pathogen genomic surveillance systems in low-resource settings, although quantifying the exact costs versus benefits of genomic surveillance is a challenge.
Wohl 2023 developed sample size calculations for variant detection and variant prevalence from whole-genome sequences based on the surveillance model; to determine whether low-resource countries are meeting the sample size requirement, sequence data from the Global Initiative for Sharing All Influenza Data (GISAID) EpiCoV database can be utilized.
Some tools developed earlier in the pandemic to monitor GISAID submissions automatically by country (CoVariants) or country income classification (FIND) are no longer being updated regularly; others that are updated regularly, such as Nextstrain Forecasts, are biased towards high income countries that meet sequence volume requirements
Several studies from low or lower middle income countries have been published over the past few years indicating that sequencing capacity exists, but the data are so retrospective that the variants described are no longer in circulation at the time of publication, and therefore cannot inform timely global surveillance efforts.
- Hailu 2024: SARS-CoV-2 genetic variants identified in selected regions of Ethiopia through whole genome sequencing: insights from the fifth wave of COVID-19
- Shempela 2024: Detection and characterisation of SARS-CoV-2 in Eastern Province of Zambia: a retrospective genomic surveillance study
- Sow 2024: Genomic characterization of SARS-CoV-2 in Guinea, West Africa
- Kia 2023: Genomic characterization of SARS-CoV-2 from Uganda using MinION nanopore sequencing